1. Grounding Language in Categorzation
Concordia University
6 March 2003

2. The generality of categorization The power of propositions
Acquiring categories by sensorimotor “toil”
Acquiring categories by symbolic “theft”
22/09/ :54:39
UQAM-CNC

3. Calibrating category-learning difficulty for the average 1-hour undergraduate experimental window . ( with R. Pevtzow)
22/09/ :54:39
UQAM-CNC

4. Advancing from white-belt to brown-belt level
Chicken-sexing with ( K. Livingston, J. Andrews)
Biederman’s geon analysis
Implicit vs. explicit learning
22/09/ :54:39
UQAM-CNC

5. Categorical Perception (with S. Hanson, A. Tijsseling)
(why is the rainbow not continuous shades of gray?)
“warping” of similarity space
Within-category compression and between-category separation
22/09/ :54:39
UQAM-CNC

6. Sensorimotor Toil (with M. Fath-el-Bab, M. Sedgwick)
( “Smith/Jones” paradigm)
trial-and-error learning with corrective feedback
22/09/ :54:39
UQAM-CNC

7. Learners and non-learners
Upper: learners
Lower: non-learners
22/09/ :54:39
UQAM-CNC

8. ERP activity changes during the course of learning
Upper: learners Lower: non-learners
Post-learning minus pre-learning
msec msec
22/09/ :54:39
UQAM-CNC

9. Analogous imaging results Gabrieli/Seger (Stanford)
Categories based on prototypes
“Smith/Jones” paradigm
22/09/ :54:39
UQAM-CNC

10. Learning curves
Using explicit symbolic rules (“theft”) vs. direct, implicit feature-detection (“toil”)
Learners
Non-learners
+Rule (thick)
-Rule (thin)
+Feedback (___ __)
-Feedback (_ _ _ _)
22/09/ :54:39
UQAM-CNC

11. The Symbol Grounding Problem
The Chinese-Chinese Dictionary-Go-Round
22/09/ :54:39
UQAM-CNC

12. Artificial Life Simulations Toil vs. Theft (with A. Cangelosi)
22/09/ :54:39
UQAM-CNC